kitio.aiKaggle vs Apache Spark MLlib
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Kaggle starts at Free and Apache Spark MLlib starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Cloud Jupyter notebooks
- Free GPU and TPU quota
- Public datasets and models
- ML competitions
- Notebook forking and sharing
- Distributed model training
- ML pipelines
- Classification and clustering
- Hadoop data sources
- Java, Scala, Python and R APIs
| Feature | Kaggle | Apache Spark MLlib |
|---|---|---|
| Best for | Free cloud notebooks, datasets and competitions for machine learning | Distributed machine learning library built into Apache Spark |
| Category | Data & analytics | Data & analytics |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | Apache Software Foundation | |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Kaggle starts at Free and Apache Spark MLlib starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Kaggle
- Free GPUs without setup
- Huge catalog of ready datasets
- Learn from thousands of public notebooks
- Weekly limits on GPU and TPU hours
- Sessions time out on long jobs
- Less flexible than your own cloud setup
Apache Spark MLlib
- Scales across large clusters
- Fits into existing Spark jobs
- Free and open source
- Needs a Spark cluster to be useful
- Few deep learning features
- Heavier setup than single-machine libraries
Which one should you choose?
Choose Kaggle if you want:
- Free GPUs without setup
- Huge catalog of ready datasets
- Learn from thousands of public notebooks
Watch out: weekly limits on gpu and tpu hours.
Choose Apache Spark MLlib if you want:
- Scales across large clusters
- Fits into existing Spark jobs
- Free and open source
Watch out: needs a spark cluster to be useful.
Kaggle vs Apache Spark MLlib FAQ
What is the difference between Kaggle and Apache Spark MLlib?
Kaggle: Free cloud notebooks, datasets and competitions for machine learning. Apache Spark MLlib: Distributed machine learning library built into Apache Spark. Both are data & analytics tools.
Is Kaggle or Apache Spark MLlib cheaper?
Kaggle starts at Free and Apache Spark MLlib starts at Free. Check both pricing pages for current plans.
Do Kaggle and Apache Spark MLlib have free plans?
Kaggle: Yes, fully free. Apache Spark MLlib: Yes, fully free.
Who makes Kaggle?
Kaggle is made by Google, based in United States.
Who makes Apache Spark MLlib?
Apache Spark MLlib is made by Apache Software Foundation.
Which should I choose, Kaggle or Apache Spark MLlib?
Choose Kaggle if you value free gpus without setup and huge catalog of ready datasets. Choose Apache Spark MLlib if you value scales across large clusters and fits into existing spark jobs.